SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 551–600 of 1198 papers

TitleStatusHype
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification—0
Discriminative Kernel Convolution Network for Multi-Label Ophthalmic Disease Detection on Imbalanced Fundus Image Dataset—0
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification—0
TransFA: Transformer-based Representation for Face Attribute EvaluationCode0
Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering—0
Local Multi-Label Explanations for Random ForestCode0
Multi-Label Retinal Disease Classification using TransformersCode0
Discriminatory Label-specific Weights for Multi-label Learning with Missing LabelsCode0
Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores—0
GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection—0
Felix&Julia at SemEval-2022 Task 4: Patronizing and Condescending Language Detection—0
The "AI+R"-tree: An Instance-optimized R-tree—0
McRock at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Multi-Channel CNN, Hybrid LSTM, DistilBERT and XLNetCode0
ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification—0
CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3—0
I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques—0
Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches—0
PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection—0
SemEval-2022 Task 4: Patronizing and Condescending Language Detection—0
Team LRL_NC at SemEval-2022 Task 4: Binary and Multi-label Classification of PCL using Fine-tuned Transformer-based Models—0
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion—0
SSN_NLP_MLRG at SemEval-2022 Task 4: Ensemble Learning strategies to detect Patronizing and Condescending Language—0
UMUTeam at SemEval-2022 Task 6: Evaluating Transformers for detecting Sarcasm in English and Arabic—0
ASRtrans at SemEval-2022 Task 4: Ensemble of Tuned Transformer-based Models for PCL Detection—0
QiNiAn at SemEval-2022 Task 5: Multi-Modal Misogyny Detection and Classification—0
PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning—0
Tesla at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Transformer-based Models with Data Augmentation—0
YNU-HPCC at SemEval-2022 Task 4: Finetuning Pretrained Language Models for Patronizing and Condescending Language Detection—0
Towards a Data-Driven Requirements Engineering Approach: Automatic Analysis of User ReviewsCode0
0/1 Deep Neural Networks via Block Coordinate Descent—0
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)—0
Online Neural Diarization of Unlimited Numbers of Speakers Using Global and Local Attractors—0
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification—0
The Subject Annotations of the Danish Parliament Corpus (2009-2017) - Evaluated with Automatic Multi-label Classification—0
RED v2: Enhancing RED Dataset for Multi-Label Emotion Detection—0
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer—0
Superclass Adversarial Attack—0
Identifying magnetic antiskyrmions while they form with convolutional neural networks—0
Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate—0
Object-Aware Self-supervised Multi-Label LearningCode0
Open Vocabulary Extreme Classification Using Generative Models—0
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural FeaturesCode0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
Evaluating Extreme Hierarchical Multi-label Classification—0
Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction—0
KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge BaseCode0
Leveraging Seq2seq Language Generation for Multi-level Product Issue Identification—0
ProTranslator: zero-shot protein function prediction using textual description—0
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations—0
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curationCode0
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All datasetsCheXpertMS-COCOPASCAL VOC 2007NUS-WIDEChestX-ray14OpenImages-v6PASCAL VOC 2012MLRSNetMRNetMIMIC-CXR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CFT (ensemble) Macao Polytechnic UniversityAVERAGE AUC ON 14 LABEL0.93—Unverified
2Hierarchical-Learning-V1 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
3DeepAUC-v1AVERAGE AUC ON 14 LABEL0.93—Unverified
4Conditional-Training-LSRAVERAGE AUC ON 14 LABEL0.93—Unverified
5Hierarchical-Learning-V4 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
6YWW(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
7Hierarchical-Learning-V0 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
8Conditional-Training-LSR-V1AVERAGE AUC ON 14 LABEL0.93—Unverified
9DeepCNNsGM(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
10Multi-Stage-Learning-CNN-V3 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified